Keynote HPC Boosts Health Care into AI Era
Speaker Cheng, Hangzhou Jianpei Technology Co.,Ltd
Abstract With the development of medical data acquisition technologies and the increasing awareness for personal health, an increasing number of medical institutions uses wearable and portable devices to record their patients’ medical information for disease prevention and early diagnosis. The ever-growing medical data has posed a challenge for data storage, management and analysis. Especially in the era of A.I, Artificial Intelligence technologies proposes even higher-level demands for medical data analysis and mining. To process and analyze the big medical data efficiently and effectively is one of the critical problems in current stage. The report publishes the latest development of high-performance computing technologies used in healthcare data analysis and its applications in clinical practices.
Bio Guohua  Cheng

The founder and chairman of Westlake international forum, the expert of ‘Zhejiang 1,000 Talents Plan’, the founder and chairman of Hangzhou Jianpei technology cooperation, ltd. The leader of an international winning team in LUNA16 nodule analysis challenge, in the challenging tasks of automated detection of pulmonary nodules in chest CT. The designer of award-winning computer aided diagnosis product ‘The Doctor Pecker, which enables automated disease localization, quantization, qualitative analysis in high efficiency and effectiveness.

Keynote A Review of Dataflow Models
Speaker Guang R. Gao, University of Delaware
Abstract Recently we all have witnessed a rapid/growing Interests and activities on dataflow program execution models and systems --- from academia and industry. In this talk, we will review the foundation of dataflow models that are laid out during the period from late 1960s and 1970s. We will also review the pitfalls and lessons that were exposed and observed during 1980s and early 90s when some major dataflow architecture projects have been conducted in the world. We hope that such critical review should be particularly useful in exploring future innovative system design assisted by modern hardware/software technologies – especially when facing the challenges from applications in advanced data analytics and machine learning.
Bio Guang R. Gao

Guang R. Gao is a computer scientist and an Endowed Distinguished Professor of Electrical and Computer Engineering at University Delaware. Gao’s research domain is high-performance computer architecture and systems. He is a leader in parallel computaion models and systems – has a focus on dataflow program execution model and systems. Gao’s work has also been associated with his entrepreneur effort --- applying his dataflow R&D results for real world applications. A unique achievement of Gao’s team is the critical role in the now legendary supercomputing system project – funded by DoD and IBM - known as IBM Cyclops-64 Supercomputer The success on Cyclops64 supercomputer is recognized as a winner of disruptive technology award in SC2007 ( as one of the large-scale real system successfully designed, built and delivered based on innovative many-core chip technology a decade ago . Gao is an ACM Fellow and IEEE Fellow, and a recipient of the Outstanding Achievement Award of Oversee Scholars from CCF (Chinese Computer Federation). Gao is a founder and chairman of the IEEE Computer Scociet Dataflow STC (the Special Interested Community of Parallel Model and System: Dataflow and Beyond ( Gao is named the recipient of 2017 Bob Ramakrishna Rau Award (